Stig is joined by Tobias Carlisle and Hari Ramachandra for a new round of stock pitches. They discuss Berkshire, Moody's and BellRing Brands.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro
00:02:35 - Stig’s bull case for Berkshire: balance sheet, culture, and Greg Abel (NYSE: BRK.B)
00:27:09 - Berkshire bear case: slowing growth and capital allocation risks
00:30:47 - Tobias’ bull case for BellRing: FCF, protein brand strength, PE appeal (NYSE: BRBR)
00:38:30 - BellRing bear case: concentration, leverage, consumer shifts
00:47:02 - Hari’s bull case for Moody’s: moat, duopoly, recurring analytics (NYSE: MCO)
00:50:20 - Moody’s bear case: valuation, cyclicality, regulation, AI risk
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Kyle discusses the investing evolution of John Maynard Keynes and the timeless lessons modern investors can draw from his successes and failures.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:03:50 - Why John Maynard Keynes is such a fascinating case study in evolving as an investor 00:08:28 - A key resource that helped him think of assets from a bottom-up approach 00:10:59 - Why Keynes's experiences of going broke multiple times helped shape him into a long-term thinker 00:17:13 - How he thought about speculation and investing, and used that to beat the market 00:28:16 - How he improved his temperament, overcame overconfidence, and adopted a long-term mindset 00:36:21 - His thoughts on diversification and reducing risk 00:41:30 - Why he believed that markets were social systems, and the errors that exposed investors to 00:50:25 - What he thought about short-term volatility 01:01:16 - Why Keynes used adaptability as such a powerful tool 01:03:50 - Six impactful takeaways
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We will temporarily pause new episodes of both shows. In the meantime, we encourage you to check out our other shows in this feed, including The Investor's Podcast and Richer, Wiser, Happier. Thank you for your continued support. We will provide updates as appropriate.
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William Green highlights essential truths about investing, business & life that emerged from two of his favorite interviews with Howard Marks and Nima Shayegh. This episode also explores powerful lessons on resilience from Bill Miller & Epictetus. IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:04:31 - How investing legend Howard Marks views the euphoria over AI 00:11:10 - What potential mistakes he warns against in this environment 00:13:23 - What essential lessons William Green has learned from Howard 00:23:00 - How Howard keeps an even keel amid extreme uncertainty 00:26:09 - Why Howard, like Einstein, doesn’t think much about the future 00:34:19 - Why investing early & not “tampering” is the key to success 00:38:39 - How Nima Shayegh looks beyond numbers to find great stocks 00:44:19 - How to harness intuition & emotion in the investment process 00:49:13 - How products from Tesla & Amazon inspire “blown-awayness” 00:57:10 - What Nima learned from his famed mentor, Lou Simpson 01:04:38 - How Lou’s success was built on humility 01:19:55 - How Lou & Nima inspire William’s yearning for a spacious life 01:23:56 - How to handle suffering with help from Bill Miller & Epictetus
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Clay explores Daniel Kahneman’s book Thinking, Fast and Slow, unpacking the cognitive biases that quietly shape our investment decisions. While markets often appear to be driven by data and logic, our decisions are frequently influenced by intuition, emotions, and mental shortcuts we don’t even realize we’re using.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:04:15 - Why temperament matters more than IQ in investing 00:11:10 - The difference between System 1 and System 2 thinking 00:16:01 - How cognitive substitution leads investors to answer the wrong questions and unknowingly ignore the more important questions 00:38:08 - How loss aversion shapes investor behavior during drawdowns and market volatility 00:54:01 - Clay’s updated views on Constellation Software
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Alex Gladstein and Justin Moon break down the fundamentals of large language models and explore the rise of OpenClaw as a self-sovereign AI assistant.
Justin explains context engineering, local inference, and vibe coding, while Alex dives into the AI for Individual Rights program and its mission to empower activists.
IN THIS EPISODE YOU’LL LEARN:
00:00:00 - Intro 00:04:12 - What Large Language Models (LLMs) are and how they differ from traditional programs 00:05:15 - Why AI feels like magic—and what’s really happening under the hood 00:06:01 - The key differences between open and closed AI models 00:06:50 - Why capital structures influence AI model openness 00:09:09 - How persistent memory enhances AI agent performance 00:12:18 - What inference means and why context is a scarce resource 00:19:32 - How AI agents combine traditional software with LLM reasoning 00:21:10 - The evolution from MCP-style systems to skills-based context engineering 00:25:41 - What “vibe coding” is and how it lowers the barrier to building apps 00:44:07 - How the AI for Individual Rights program supports activist-driven innovation
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Kyle Grieve discusses how a series of unforgettable real-world stories reveal the hidden psychological traps that derail investors.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro
00:03:07 - How Ronaldo’s Coke incident reveals the danger of false cause and effect
00:07:44 - Why patience in investing can beat the urge to stay busy
00:09:21 - How Muhammad Ali showed the power of waiting for the perfect moment
00:12:54 - Why Bobby Bonilla’s contract exposes the time value of money
00:16:02 - How the Madoff scandal proves great results can hide massive fraud
00:22:09 - Why Isaac Newton’s failure reveals how FOMO traps even the smartest minds
00:27:17 - How Hetty Green shows the strength of buying value when others won’t
00:36:23 - What the long SPAC history warns us about hype repeating through time
00:47:33 - How relying on autopilot in markets can quietly lead you into danger
00:52:06 - Why inflation acts like a silent force pushing your spending power backward
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
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Clay breaks down his best quality stock idea for Q1 2026: Visa.
Visa is a global payments network that operates as a toll booth on commerce. Visa is one of the most durable and capital-light business models in the world.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:02:48 - How Visa fits into Dev Kantesaria’s investing strategy 00:08:55 - The history of how Visa became the giant, ubiquitous network we all know of today 00:12:21 - Visa’s role as an information network that avoids all card issuance and lending risk 00:25:08 - A side-by-side comparison of Visa versus its primary competitors, Mastercard and American Express 00:29:40 - The future of the $200 trillion dollar "New Flows" market and the rise of AI-driven agentic commerce 00:34:41 - An analysis of Visa’s pristine financial profile, featuring 60% operating margins and low capital intensity 00:46:54 - A look at valuation level, the primary risks, and much more!
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Jeff Booth, Jack, and Nick explore a year-long paper linking Bitcoin to fundamental physics, framing Bitcoin blocks as discrete, quantized units of time. They connect concepts from quantum mechanics and entropy to Bitcoin’s design, argue that its finite, discrete structure may be incompatible with quantum computing threats, and close with plans to experimentally test a Bitcoin miner’s interaction with zero-point energy in a physics lab in Chamonix.
IN THIS EPISODE YOU’LL LEARN:
00:00:00 - Intro
00:02:46 - Bitcoin blocks as quantized units of time challenging the continuous-time assumption in modern physics
00:07:26 - The self-referential problem of time in physics and why time cannot be tested outside of itself
00:13:34 - Parallels between Bitcoin’s mempool and quantum superposition as pre-measurement potential states
00:14:43 - How Bitcoin’s UTXO model separates measurement from observation in a way physics cannot
00:31:13 - Bridging Boltzmann entropy and Shannon entropy through Bitcoin’s finite state space and mining process
00:37:47 - Bitcoin’s 21 million supply cap as a physical boundary analogous to Planck temperature
00:42:26 - Why Bitcoin’s discrete time model may be fundamentally incompatible with quantum computing attacks
01:02:32 - Plans to test a Bitcoin miner’s interaction with zero-point energy at a physics lab in Chamonix
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
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In this episode, Stig Brodersen speaks with Thomas Mueller-Borja, the Global Co-Head of Real Estate and Global CIO for Value-Add Real Estate at BlackRock. They explore how great investors define games they can win, balance ambition with contentment, and build high-quality relationships.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:02:22 - What happens when BlackRock raises and deploys billions of dollars 00:29:31 - How the public debt situation across the developed world may influence your investment framework 00:46:47 - How to build high-quality relationships 01:04:03 - How to define and win the right games 01:10:11 - How to balance honesty and kindness 01:17:17 - Frameworks for choosing the bigger life
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
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In this episode, Clay tells the story of Uber. Uber started as a simple idea, and evolved into one of the most disruptive companies of the modern era. Drawing from Brad Stone’s The Upstarts, the episode explores Uber’s early days, its global expansion, and the never-ending battles with regulators, competitors, and the taxi industry.
IN THIS EPISODE YOU’LL LEARN: 00:00:00 - Intro 00:01:42 - How Uber went from a simple idea in San Francisco to a global transportation platform in under a decade 00:03:58 - Why the taxi industry was ripe for disruption and how regulation shaped Uber’s early strategy 00:31:08 - The role venture capital, aggressive expansion, and competition played in Uber’s rise 00:39:41 - How network effects, data, and dynamic pricing powered Uber’s growth flywheel 01:00:42 - How Uber’s business model and moat evolved over time 01:15:54 - Why leadership style and company culture became both a strength and a liability as Uber scaled
Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences.
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